Machine Learning–Based Damage Pattern Discovery in Composite Pressure Vessels Using Acoustic Emission Signals
Ensuring the safety and reliability of hydrogen storage systems requires a detailed understanding of damage evolution in composite pressure vessels (CPVs). These structures experience complex degradation processes during service, which makes damage assessment particularly challenging. Acoustic emission (AE) monitoring...